Respuesta :
Answer:
the probability that 0≤x≤1/2 and 1/4≤y≤1/2 is 3/64 (4.68%)
Step-by-step explanation:
assuming that X and Y are independent variables for the probability density function f(x,y) :
f(x,y) = 4*x*y for 0≤x≤1 and 0≤y≤0
f(x,y) = 0 elsewhere
then the probability is calculated through:
P(x,y)= ∫f(x,y) dx dy = ∫4xy dx dy
for 0≤x≤1/2 and 1/4≤y≤1/2 we have
P(0≤x≤1/2,1/4≤y≤1/2 ) = ∫4xy dx dy = ∫4xy dx dy = 4*∫x dx ∫y dx = 4*[((1/2)²/2-0²/2)] *[(1/2)²/2-(1/4)²/2)] = 1 * 1/4 * (1/4-1/16) = 1 * 1/4 * 3/16 = 3/64
then the probability that 0≤x≤1/2 and 1/4≤y≤1/2 is 3/64 (4.68%)
The probability that 0≤x≤1/2 and 1/4≤y≤1/2 is 0.046875
How to determine the probability?
The distribution function is given as:
f(x,y) = 4xy 0≤x≤1 and 0≤y≤0
The probability is calculated using the following integral
P(x,y)= ∫f(x,y) dx dy = ∫4xy dx dy
So, we have:
[tex]P(x,y) = \int\limits^{1/2}_{1/4} {\int\limits^{1/2}_{0} 4xy} \ dx dy[/tex]
Factor out 4
[tex]P(x,y) = 4\int\limits^{1/2}_{1/4} {\int\limits^{1/2}_{0} xy} \ dx dy[/tex]
Integrate with respect to x
[tex]P(x,y) = 4\int\limits^{1/2}_{1/4} { \frac{x^2}{2}y|\limits^{1/2}_{0}} dy[/tex]
Expand
[tex]P(x,y) = 4\int\limits^{1/2}_{1/4} { \frac{1/2^2 - 0^2}{2}y dy[/tex]
[tex]P(x,y) = 4\int\limits^{1/2}_{1/4} { \frac{1}{8}y\ dy[/tex]
Factor out 1/8
[tex]P(x,y) = \frac{1}{2}\int\limits^{1/2}_{1/4} { y\ dy[/tex]
Factorize
[tex]P(x,y) = \frac{1}{2} * \frac{y^2}{2}|\limits^{1/2}_{1/4}[/tex]
Expand
[tex]P(x,y) = \frac{1}{2} * \frac{1/2^2 - 1/4^2}{2}[/tex]
[tex]P(x,y) = \frac{0.1875}{4}[/tex]
Evaluate the quotient
P(x,y) = 0.046875
Hence, the probability that 0≤x≤1/2 and 1/4≤y≤1/2 is 0.046875
Read more about probability at:
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